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Calculating Frequentist R-squared

Let's practice calculating the R-squared. By starting with the frequentist R-squared, we can check our formulas for calculating the R-squared by hand, by checking against the value in the frequentist summary. The lm_model and lm_summary objects are already in your environment.

This exercise is part of the course

Bayesian Regression Modeling with rstanarm

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Exercise instructions

  • Print the R-squared value from the lm_summary object
  • Calculate the variance of the residuals of the lm_model
  • Calculate the variance of the predicted values of the lm_model
  • Calculate the R-squared value

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Print the R-squared from the linear model
lm_summary$___

# Calulate sums of squares
ss_res <- ___(___(lm_model))
ss_fit <- ___(___(lm_model))

# Calculate the R-squared
1 - (___ / (___ + ___))
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